Mac mini (2024)
Geekbench AI Score
4952
Single Precision Score
36596
Half Precision Score
51470
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ikristof |
| Upload Date | January 09 2026 07:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2103
391.1 IPS |
|
|
Image Classification (HP)
|
100% |
17399
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
24603
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22330
362.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30264
490.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10006
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123169
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232575
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2483
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
17929
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26159
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4353
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
43475
516.6 IPS |
|
|
Face Detection (Q)
|
100% |
60773
722.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8621
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100228
772.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
164599
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24491
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
233481
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
323199
417.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6028
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53393
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85237
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5592
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5580
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4522
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16536
284.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18733
323.7 IPS |
